postgresql partitioning performance

Label:--The following description does not remember where it was copied?! Table partitioning is the logical separation of a large table into physical multiple small chunks, table partitioning provides several benefits: 1. Some types of query performance can be greatly improved. 2. The performance of the update can be i

Five tips for Instagram to improve PostgreSQL performance, postgresql Performance Optimization As Instagram grows, Postgres continues to serve as a solid foundation for Instagram and stores a vast majority of user data. Less than a year ago, we also wrote on our blog that Instagram "stores a large amount of data" and a

Label: --For partition table constraint_exclusion This parameter needs to be configured as partition or on postgres=# show constraint_exclusion; Constraint_exclusion----------------------Partition--Creating a parent-child table for storing partition data create TABLE t (ID int primary key); CREATE table T1 (like T including all) inherits (T); CREATE TABLE T2 (like T including all) inherits (T); CREATE table t3 (like T including all) inherits (T); CREATE table t4 (like T including all) inherits

Objective There are requirements in the project to vertical table, that is, according to the time interval to split the data into N tables, PostgreSQL provides the function of the partition table. A partitioned table actually divides a large logical table into several small pieces of physics, providing a number of benefits, such as: 1, query performance greatly improved2, delete historical data faster3, t

in the same range, meaning that the least part is cached. The query statement is on the Forge. Results: 1 partition table with primary key The first Test uses a composite primary key, just as the original data table uses. Primary key index file reaches 5.5 GB. As you can see, not only does partitioning not improve performance, but primary keys also slow down operations. Because if you use a primary key

Oracle Performance Myths--mts,rac, partitioning, parallel queries To improve performance, we've done a lot of testing on the methods or scenarios that the Oracle database itself providesMainly include:Shared server mode (MTS)Cluster technology (clustering), RACPartitionParallel processing (mainly parallel queries) These features provided by Oracle are indeed use

Use local indexes to improve PostgreSQL Performance You may not know that PostgreSQL supports partial indexing of table data? Its advantage is that it can accelerate the reading speed of the indexed data without additional overhead. the best way is to index the data that is read repeatedly based on the given WHERE clause. this is suitable for some specific analys

, that is Oracle daTa guard, or simply say it's about storage hardware) However, RAC brings both benefits and performance impact.Because it needs to globally coordinate the data cache to ensure that the cached data is consistent among the users connected to each instance, the following three conflicts are amplified:1. High-speed cache contention2. Excessive I/O3. LockThat is to say, if there is a problem in these aspects, the problem will be even gr

In practical work, often hear beginners say: "Large table partition can certainly improve query performance." In fact, when you do not understand the application of the situation, blind to create a partition not only can not improve query performance, but also may lead to query performance degradation. Therefore, before deciding whether to use a partition, you mu

, the return value cannot be negative.Key partition: Partition According to the hash function provided by the MySQL database.Partitioning and performance:　　Database applications are divided into two categories: OLTP (online transaction processing), such as blogs, e-commerce, online games, and OLAP (online analytical processing), such as data warehouses, data marts.For OLAP applications, partitioning can do

The reason why I want to write an article today is that MySQL5.1 's release brings a powerful weapon to design a super power database, and any MySQL DBA should learn and use it as soon as possible. I think that if you can use the new features of this version 5.1, DBAs can manage the VLDB (do not know what is VLDB?). To tell you, it's a good big database meaning, Very Large DB, or a data warehouse that magically gets a huge performance boost. What is

This article first examines the IBM db2®universal database™ data partitioning feature in the DB2 UDB for linux®, UNIX®, and Windows® in the performance and scalability side The advantages of the face. Then, complete the steps to install and configure the DB2 with DPF functionality on the SUSE Linux Enterprise Server. You will also learn some important conceptual and design considerations that will help you

One of linux Performance Tuning: disk partitioning policies for servers, whether in windows or linux, affect system performance. after partitioning a disk, It is formatted as a system file in a certain format. Finally, it is stored in user or system data. The faster the response speed when data is easily read in the pa

parallel why will lead to ora-17144 errors, and then I immediately thought of using SQL profile will be the execution plan fixed, but absolutely not reasonable, as to why we need to find the problem in parallel, So I queried the degree of parallelism between the table and the table index, and found that parallel is enabled on the partition index. Alter index index_name noparallel: After the parallel function is disabled, the service returns to normal. This article is from the "Focus on Oracle